Research On Automatic Operation Of High-speed Trains Based On Fuzzy Predictive Control

With the rapid development of high-speed railways,the operating speed of trains have continued to increase,and the traditional way of driving a train by a driver has been difficult to meet the needs of the train.How to make high-speed trains run automatically has become an urgent problem.Therefore,it is of great significance to the theoretical research on automatic operation of high-speed trains.The main function of the Automatic Train Operation(ATO)system is that the train automatically adjusts the speed according to the current road conditions,operating instructions and other factors,so that the train runs at the ideal speed to meet the stability,punctuality,punctuality,Energy saving and comfort requirements.In this thesis,the CRH3 EMU is used as an object to research the automatic operation of high-speed trains.The main contents are as follows:Firstly,the research background and significance of the subject are clarified,and the structure and function of the Automatic Train Control(ATC)system are understood,including the function of the ATO system and the cooperative relationship with other subsystems.Based on this,several common train operation strategies are analyzed.The advantages and disadvantages of the single-point and multi-point train models are analyzed.Aiming at the problems of single-point model in train speed control,a high-speed train multi-point mathematical model is established by analyzing the forces of each carriage of high-speed trains,and using the CRH3 EMU data as an example,a train SIMULINK simulation model is established.Secondly,the main ideas of fuzzy control and predictive control are summarized.The advantages of predictive control that can predict the speed of the train at the next moment are incorporated into the design of the train fuzzy speed controller,and a fuzzy predictive speed controller is designed for multi-point model high-speed trains.The simulation results show that the controller can reduce the speed tracking error of the train by adjusting the current output of the controller under the premise of knowing the speed of the train at the next moment,which solves the problem that fuzzy control does not have high accuracy when controlling train speed.Finally,taking the Hefei-Bengbu line as the research line,and the ideal speed-distance curve and ideal speed-time curve of high-speed train are designed based on the line data.Based on this,the established SIMULINK simulation model of the high-speed train and the designed fuzzy predictive speed controller are simulated and verified.The simulation results show that the multi-point model train can solve the speed jump problem of the single-point model train when it passes through the changing point and the curvature.The fuzzy predictive controller designed for the multi-point model can well control the train running at the target speed,and meet the requirements of punctual arrival and precise stop of the train.